AI Cost Firewall: An OpenAI-Compatible Gateway That Cuts LLM Costs by 75%

Exact + semantic caching for AI applications In today’s era of AI adoption, there is a distinct shift from integrating AI solutions into business processes to controlling the costs, be it the costs of a cloud solution, a local LLM deployment, or the cost of tokens spent in chatbots. If your solution includes repeated questions and uses an OpenAI-compatible model, and if you are looking for a simple, free and effective way to immediately cut your company’s daily token costs, there is one infrastructural solution that does it right out of the box. AI Cost Firewall is a free open-source API gateway that decides which requests actually need to reach the LLM and which can be answered from previous results without additional token costs. The gateway consists of a Rust-based firewall “decider”, a Redis database, a Qdrant vector store, Prometheus for metrics scraping, and Grafana for monitoring. All the tools are deployed with a single docker compose command and are available for use in less t